The Development of Embedded Rotating Machine Fault Diagnosis System Based on Qt/Embedded

2011 ◽  
Vol 328-330 ◽  
pp. 933-938
Author(s):  
Ze Min Zhou ◽  
Chun Liang Zhang ◽  
Yue Hua Xiong

As the constantly growth of embedded Technology, embedded products put into use in almost everywhere around our life. This paper mainly introduce how to set up the Qt/Embedded Cross-compiling environment in Linux system platform, and the development and transplant of embedded fault diagnosis system use development tools of Qt/Embedded. This system achieve those functions, including fault display, signal analysis, diagnostic model training and data storage or transmittal, by graphical interfaces designing and performance function addition. And finally create the application document which applies to ARM framework embedded processor by Cross-compiling. In the end, the application document is transplanted and run in the target platform, and testing the diagnosis effects.

2009 ◽  
Vol 76-78 ◽  
pp. 67-71
Author(s):  
Wan Shan Wang ◽  
Tian Biao Yu

A remote fault diagnosis method for ultrahigh speeding grinding based on multi-agent is presented. The general faults of ultrahigh speed grinding are analyzed and diagnosis model based on multi-agent is established, the dialogue layer, problem decomposition layer, control layer and problem solving layer in the process of diagnosis are studied and the knowledge reasoning model of fault diagnosis is set up based case-based reasoning (CBR) combining rule-based reasoning (RBR). Based on theoretical research, a remote fault diagnosis system of ultrahigh speed grinding is developed. Results of the system running prove the theory is correctness and the technology is feasibility.


2011 ◽  
Vol 105-107 ◽  
pp. 656-659 ◽  
Author(s):  
Dong Chen Li

The system uses GRAP in Grey Theory to conduct fault diagnosis of fan and chooses LabWEV for software platform, developing a set of system aiming at fault monitoring on line and diagnosis of mine fan in order to guarantee the running state of fan continuously and efficiently . This system has functions of monitoring on line,fault diagnosis,fault warning,data storage, history inquiry and so on.


2011 ◽  
Vol 383-390 ◽  
pp. 5605-5608
Author(s):  
Zhi Jian Sun ◽  
Xian Zhi Zhang ◽  
Wen Sheng ◽  
Shi Hua Liu

This paper discusses a Web-based remote radar fault diagnosis and information system . A delicated radar network is set up with knowledge base and Web . The various key points about the structure , the function module and the key technology of the remote diagnosis system are analyzed and developed . In this way the real-time monition and automatical fault and diagnosis are realized , the reliability of the radar and the emergency repairing ability is improved .


Author(s):  
Tang Xiujia

In order to decrease the false alarm rate and improve the sensitivity of pipeline fault diagnosis system, three artificial intelligence based methods are first proposed. Neural networks with the input matrix composed by stress wave characteristics in time domain or frequency domain is proposed to classify various situations of the pipeline, in order to detect the leakage from pipeline online running data. Context-free grammar of symbolic representation of the negative wave form is used and a negative wave form parsing system with application to syntactic pattern recognition based on the representation is described. New complex thermal and hydraulic models, in which the flow regime, viscosity-temperature characteristics, density-temperature characteristics and specific heat-temperature characteristics, etc., of the running fluid in the pipelines are set up for non-isothermal pipeline carrying higher temperature fluid or in ambient environment.


2016 ◽  
Vol 693 ◽  
pp. 1567-1569
Author(s):  
Pan Zhang ◽  
Peng Wang ◽  
Lu Yang Jin ◽  
Yu Long Wang

It is the hotpot to study the application of stochastic resonance (SR) in the field of mechanical fault diagnosis. The fault diagnosis system based on SR was developed, using “ARM+DSP” dual-core structure as hardware and embedded system as software, implemented signal acquisition, data storage, data analysis, waveform display and so on. The SR was adopted as characteristic quantity to analyze vibration signals for fault diagnosis. The experiment results showed that the function of portable fault diagnosis instrument is stable. It has veracity and validity.


2011 ◽  
Vol 128-129 ◽  
pp. 571-574 ◽  
Author(s):  
Biao Lai ◽  
Hui Qin Jia

A fault diagnosis system based on the Client/Server mode is developed, which realizes the purpose of diagnosing the Telemetry Equipment placing on the station address through local or IP network. And the fault method uses the fault tree to describe the logic relation between fault nodes. And the fault tree is realized by virtual instrument. The signal acquisition module uses PXI architecture, the interactive user interface is develops under LabVIEW graphical software and the data storage uses SQL server database platform. The developed fault diagnosis system can realize the functions of information management on instrument and fault node, fault detection or location, and device remote control. Now this system is used in test area, which improves the telemetry equipment maintenance rate.


2012 ◽  
Vol 174-177 ◽  
pp. 1971-1976
Author(s):  
Xin Gang Song ◽  
Ai Jun Ma ◽  
Qiang Ma ◽  
Yi Bin Zhang

To improve the level of ship monitoring, ease the engineer’s working strength, improve the level of the shipping company regulation, the remote fault diagnosis system of ship’s engine room is designed with the comprehensive utilization of neural network, SQL Sever database, C/S structure, the Inmarsat system, etc. The system includes the data acquisition, data storage, the display and control of interface and wireless transmission. The results of application show that the system is stable, easy to use, modification with low cost, helpful for engineer knowing the state of engine room, convenient for unified supervision of the shipping company, improves the work efficiency, safeguards the shipping service.


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